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Reconstruction of the Material Probabilistic S-N Relations under Fatigue Life Following Lognormal Distribution Ⅰ-without Given Confidence

机译:在没有给定置信度的情况下对数正态分布Ⅰ后疲劳寿命下材料概率S-N关系的重建

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Fatigue reliability theory has recently verified that the sampling size related effect should be taken into account by confidence (C). However, most of the historic probabilistic S-N curves are given to only consider the scattered regularity effect by survival probability (P). Therefore, a reconstruction method of the historic curves is investigated to consider the sampling size effect. An effort is made on addressing the true production that the sampling size is less than 20 for material specimens and 10 for structural component specimens. A Monte Carlo simulation approach is first established to reconstruct the test S-N data. And then, the P-C-S-N curves are reconstructed with a general maximum likelihood principle. The practice for 40Cr steel has clearly indicated that, beyond all doubt, the reconstructed curves has overcome the shortages of the historic data.
机译:疲劳可靠性理论最近证明,应通过置信度(C)来考虑与样本大小相关的影响。但是,给出的大多数历史概率S-N曲线仅考虑生存概率(P)的分散规律性效应。因此,研究了历史曲线的重构方法以考虑采样大小的影响。努力解决真正的问题,即材料样本的样本大小小于20,而结构构件样本的样本大小小于10。首先建立了蒙特卡洛模拟方法来重建测试S-N数据。然后,使用一般最大似然原理重建P-C-S-N曲线。 40Cr钢的实践清楚地表明,毫无疑问,重建的曲线克服了历史数据的不足。

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